Affiliation:
1. Department of Neurology, Rabin Medical Center, Petach Tikva, Israel
2. Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
3. Interventional Neuroradiology unit, Rabin Medical Center, Petach Tikva, Israel
4. Cognitive Neurology Clinic, Rabin Medical Center, Petach Tikva, Israel
Abstract
Background Delays in reperfusion treatment, both intravenous thrombolysis (IVT) and endovascular treatment (EVT), adversely affect outcomes in patients with acute ischemic stroke (AIS). To alleviate these delays, it is essential to comprehend how patients’ baseline and stroke characteristics impact in-hospital reperfusion delays. While demographic and socioeconomic factors affect stroke outcomes, their impact on in-hospital delays remains unclear. Method This is retrospective analysis at a tertiary stroke center, encompassing AIS patients receiving IVT and / or EVT between 2019 and 2022 (re-canalization cohort). Outcomes of interest were time intervals of admission to CT and admission to recanalization. Univariable analyses explored age, gender, baseline functional status, socioeconomic status (SES), ethnicity, vascular risk factors, and stroke characteristics. Subsequently, multivariable logistic regression analyses were performed. Results Altogether, 313 patients treated with IVT and 293 with EVT were included in the re-canalization cohort. No demographic variables were found to be associated with stroke treatment time intervals. Following multivariable analysis, stroke severity (low NIHSS, p < 0.01), arrival to the hospital by other means than ambulance ( p < 0.01), and atypical stroke symptoms ( p < 0.01), were associated with in-hospital delays, both in the EVT and the IVT groups. Conclusion Our findings indicate that patients with a more severe ischemic stroke, typical stroke symptoms, and arrival by ambulance have shorter stroke treatment time intervals. These results emphasize that, in atypical cases, even a lower suspicion of stroke should promote urgent workup for stroke diagnosis. Our findings do not indicate any influence of demographic or SES on in-hospital reperfusion delays.